d1d97c73-eff4-411b-93d6-f4a30ea05faa English Dataset German Aerospace Center (DLR) geoservice@dlr.de 2024-06-20T13:07:17 ISO 19115-1:2014/19139 EPSG:32721 - WGS 84 / UTM zone 21S Geo-ForPy - Forest Cover per Protected Area in the Paraguayan Chaco - 2000-2020 2022-09-27T00:00:00 https://geoservice.dlr.de/catalogue/srv/metadata/d1d97c73-eff4-411b-93d6-f4a30ea05faa This product is a vector file of the protected areas of the Paraguayan Chaco. It contains information on the forest cover within each protected area and a 5, 10, and 15 km buffer zone around these areas, for the years 2000 until 2020. Hence, this product aggregates the information of 21 annual forest maps of the Paraguayan Chaco to the level of protected areas and provides the basis for further analysis as conducted in the following publication: https://doi.org/10.3390/f13010025 This data set provides the results of a analysis of the forest cover develeopment in the protected areas of the Paraguayan Chaco between 2000 and 2020 and reveals the effectiveness of such protecting zones. German Aerospace Center (DLR) Jennifer.Kriese@dlr.de German Aerospace Center (DLR) geoservice@dlr.de https://geoservice.dlr.de/catalogue/srv/api/records/d1d97c73-eff4-411b-93d6-f4a30ea05faa/attachments/forestcoverprotected_ql.jpg large_thumbnail https://geoservice.dlr.de/catalogue/srv/api/records/d1d97c73-eff4-411b-93d6-f4a30ea05faa/attachments/forestcoverprotected_ql_s.jpg thumbnail Land cover GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme National Spatial scope 2019-05-22 geonetwork.thesaurus.external.theme.httpinspireeceuropaeumetadatacodelistSpatialScope-SpatialScope opendata DLR EOC GeoForPy Forest Forest Cover Landsat-5 Landsat-7 Landsat-8 Paraguay random forest protected areas Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use. There are no limitations on public access to spatial data sets and services. Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by/4.0/ Terms of use: License, https://creativecommons.org/licenses/by/4.0/ {"id": "cc-by-4.0", "name": "Creative-Commons - Attribution 4.0 International (CC BY 4.0)", "url": "http://dcat-ap.de/def/licenses/cc-by/4.0", "quelle": "Copyright DLR (2022)"} 60000 English biota -62.68 -57.14 -25.36 -19.34 2000-01-01T00:00:00 2020-12-31T23:59:59 Geopackage https://geoservice.dlr.de/eoc/land/wms? OGC:WMS PROTECTED_AREAS_FOREST_PRY WMS Access: Forest cover per protected area in the Paraguayan Chaco 2000 - 2020 https://download.geoservice.dlr.de/geoforpy/files/ WWW:LINK-1.0-http--link HTTP download Geo-ForPy - Paraguayan Chaco, 2000-2020 https://www.geoforpy.eoc.dlr.de/ WWW:LINK-1.0-http--link Geo-ForPy - Deforestration in Latin America and the Paraguayan Chaco Geo-ForPy - project Webpage https://doi.org/10.3390/f13010025 WWW:LINK-1.0-http--link Understanding 34 Years of Forest Cover Dynamics across the Paraguayan Chaco: Characterizing Annual Changes and Forest Fragmentation Levels between 1987 and 2020 Article Conformity_001 INSPIRE Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 See the referenced specification. true This data set provides 21 years of forest cover losses in the protected areas and surrounding buffer zones in the Paraguayan Chaco. All information is given in square meter. The forest cover per protected area/buffer zone was derivated from the forest masks (2000 – 2020) which are a product of the Geo-ForPy project. Processing: Overlapping buffer zones of two or more protected areas were merged to one common buffer zone. To calculate the forest cover per protected area/buffer zone, the shape file was intersected with the forest areas of the annual forest masks and the area of intersection was calclulated. Quality Assurance: The underlying forest masks have overall accuracies between 85% and 97%. Missclassifications directly affect the calculated forest area.